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Full-Stack Developer - AI Trainer (Netherlands) at Anyone AI

Amsterdam, North Holland, Netherlands -

Full Time

Start Date

Immediate

Expiry Date

23 Aug, 26

Salary

50.0

Posted On

25 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, JavaScript, TypeScript, Java, C#, Go, Backend Development, Full-Stack Development, Pytest, Jest, JUnit, xUnit, Go Testing, Code Review, Refactoring, Debugging

Industry

Description

Anyone AI is recruiting skilled Full-Stack Developers to work on a project with a leading AI lab. Qualifications: Advanced professional written proficiency in English 3–7 years of professional software engineering experience Strong proficiency in Python and JavaScript/TypeScript; working knowledge of Java, C#, or Go Backend or full‑stack development experience in production systems Experience with testing frameworks (e.g., pytest, Jest, JUnit, xUnit, Go testing) Proven ability to debug and navigate large, multi‑file codebases Experience with code reviews, refactoring, and production migrations Engagement: Part-time, project-based expert evaluation work Work Type: Remote Contributors will design and evaluate realistic software engineering tasks, including bug resolution, feature implementation, refactoring/migration, and test generation. Work includes both creating complex coding scenarios and reviewing peer submissions for quality and accuracy. This is a project-based consultant role. Consultants will be paid on a per-project basis; hourly rates are estimates based on anticipated completion time. Consultants control their own schedule, provide their own tools, and may simultaneously provide services to other vendors/employers (subject to those vendors’ allowances). Responsibilities: Contributors will: Design and implement multi-file coding tasks across bug fixing, feature development, refactoring, and testing Write clear natural-language specifications and reference implementations Develop and extend unit and integration test suites Review peer-generated tasks for correctness, clarity, and realism Identify edge cases, ambiguities, and potential failure modes Ensure alignment between specifications, code, and expected outputs Expected Outcomes: High-quality, production-realistic coding tasks Complete and correct reference implementations Robust test coverage and validation artifacts Structured, actionable peer review feedback

Responsibilities

Design and implement complex multi-file coding tasks including bug fixes, feature development, and testing. Review peer-generated tasks for accuracy and create high-quality reference implementations.